Distributed optimal active power dispatch with energy storage units and power flow limits in smart grids. (February 2019)

• Record Type: Journal Article
• Authors: Liu, Wei-Jie; Chi, Ming; Liu, Zhi-Wei; Guan, Zhi-Hong; Chen, Jie; Xiao, Jiang-Wen
• Is Part Of: International journal of electrical power & energy systems. Volume 105(2019)
• Page Start: 420
• Page End: 428
• Publication Date: 2019-02
• Subjects: Smart grids -- alternating direction method of multipliers -- projected gradient method -- average consensus algorithm -- distributed optimization -- dynamic optimal active power dispatch; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2018.07.060
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: The fully distributed algorithm is proposed to solve the DOAPD problem. The ESUs' charging costs are included in the total operation costs. The dynamic optimal power exchange with the main grid is obtained. Simulation studies are given to show the performance of the proposed algorithm. Abstract: Dynamic optimal active power dispatch with energy storage units and power flow limits is an important problem in smart grids. This problem is usually described as a convex optimization model. In our model, not only the conventional equality and inequality constraints, energy storage units' constraints and power flow constraints are considered, but also the energy storage units' operational costs and the power price of the main grid are considered in the total costs. To solve this problem, a fully distributed algorithm based on the alternating direction method of multipliers (ADMM), the projected gradient method and the average consensus is proposed. The proposed algorithm can obtain the optimal output power settings of the energy storage units, distributed generators and the main grid for different demand loads with different initial states. In the proposed algorithm, firstly, the dispatch problem is decomposed into multiple subproblems on the basis of the alternating direction method of multipliers; then the subproblems can be solved according to the projected gradient method and the average consensus algorithm. In order to apply the projected gradient method, every bus is equipped with a bus agent which is responsible for information communication and the output power optimization calculation. Simulation studies demonstrate the effectiveness of the proposed algorithm. .